J Pattison

5.5k total citations · 2 hit papers
95 papers, 3.4k citations indexed

About

J Pattison is a scholar working on Epidemiology, Infectious Diseases and Genetics. According to data from OpenAlex, J Pattison has authored 95 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 25 papers in Infectious Diseases and 10 papers in Genetics. Recurrent topics in J Pattison's work include Parvovirus B19 Infection Studies (19 papers), Virology and Viral Diseases (18 papers) and Respiratory viral infections research (11 papers). J Pattison is often cited by papers focused on Parvovirus B19 Infection Studies (19 papers), Virology and Viral Diseases (18 papers) and Respiratory viral infections research (11 papers). J Pattison collaborates with scholars based in United Kingdom, United States and Jamaica. J Pattison's co-authors include M. J. Anderson, Shane Jones, Paul Noone, Mark Glaister, L. R. Davis, J. S. Willman, Paul G. Higgins, D. A. J. Tyrrell, G. R. Serjeant and Michael Kidd and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

J Pattison

88 papers receiving 3.1k citations

Hit Papers

Experimental Parvoviral Infection in Humans 1981 2026 1996 2011 1985 1981 100 200 300 400 500

Peers

J Pattison
Comparison fields: 5 of 144
  • Infectious Diseases 1.7k
  • Dermatology 935
  • Epidemiology 630
  • Pediatrics, Perinatology and Child Health 593
  • Hematology 397
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Susanna Cunningham–Rundles United States View profile →
Citations per field, relative to J Pattison
J Pattison · 1×
Citations per year, relative to J Pattison
J Pattison · 1×

Countries citing papers authored by J Pattison

Since Specialization
Citations

This map shows the geographic impact of J Pattison's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J Pattison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Pattison more than expected).

Fields of papers citing papers by J Pattison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J Pattison. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J Pattison. The network helps show where J Pattison may publish in the future.

Co-authorship network of co-authors of J Pattison

This figure shows the co-authorship network connecting the top 25 collaborators of J Pattison. A scholar is included among the top collaborators of J Pattison based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J Pattison. J Pattison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 11
2 0
3 219
4 19
5 3
6 1
7 1
8 102
9 1
10 48
11 25
12 17
13 22
14 115
15 18
16
Campylobacter: Epidemiology, Pathogenesis and Biochemistry
91
17
Perspectives in Virology XI.
15
18
Quantitative cytochemistry and its applications
24
19
The detection of rubella-specific IgM antibodies by radioimmunoassay.
22
20 286

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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